--- title: 'Senior Data Engineer at Hyperbolic Labs' canonical: 'https://feeny.ai/job/senior-data-engineer-hyperbolic-labs-san-francisco-r51xzds8nm1k' type: 'job' last_seen: '2026-10-13' --- # Senior Data Engineer at Hyperbolic Labs - **Company:** Hyperbolic Labs - **Location:** San Francisco, CA - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-05 - **Last confirmed live:** 2026-10-13 - **Apply:** https://jobs.ashbyhq.com/hyperbolic/e9d1aa14-e40a-443d-85a5-ef6fbad06612 ## Job description ## Who We Are Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By making better use of idle computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all. As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality. ## ABOUT THE ROLE This is Hyperbolic's first dedicated Data Engineer, and you will build our data infrastructure from 0 to 1. You'll be one half of a two-person data team, working alongside our data analyst, which means a high degree of autonomy and a direct line to impact. Today our product engineers maintain the data stack on top of their day jobs. You will take ownership of the data warehouse, the pipelines that feed it, and the tooling that keeps it healthy. The timing matters. As we launch new products like inference, our data volume will grow fast, we will add more data sources, and more teams will rely on BI and reporting. Scrappy processes and off-the-shelf tools won't keep up at that scale, and you will build what comes next. You will sit between our data analysts and engineering, partnering with both to make sure the right data is reliable, fast, and cost-efficient to use. Our current data stack includes Redshift, Postgres, and Hex, with Polytomic for ingestion. ## WHO YOU ARE - Track record of independently building and maintaining a data warehouse that ingests and aggregates data from multiple sources using industry-standard tooling - Experience designing data models for new business lines, figuring out what to model and how as new products (like spot and inference) come online - Experience ensuring data reliability and quality through testing, documentation, and governance - Familiarity with data lakes and data warehouses, and when to use each - Deep knowledge of Postgres, including partitioning, data archival, and moving large datasets - Experience working with large datasets - Experience supporting production systems: monitoring, troubleshooting, and performance tuning - Strong communication skills, with the judgment to push back on requests that would add tech debt and explain why ## PREFERRED QUALIFICATIONS - Familiarity with the AWS ecosystem (this can be learned on the job) - DBA experience - Experience setting up CI/CD for data pipelines - Background in GPU infrastructure, cloud computing, or AI infrastructure - Experience at an early-stage, high-growth technical company Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. ## About Hyperbolic Labs ## Company Overview - **One-liner**: Hyperbolic provides an open-access cloud platform offering affordable, on-demand GPU compute and AI inference services for developers, researchers, and AI teams. - **Entity Type**: Private (Series A) - **Headquarters**: San Francisco, California, United States (also listed as Irvine, California, per CB Insights) [LinkedIn], [CB Insights] - **Founded**: 2022 [CB Insights] - **Founders**: Jasper Zhang (CEO) and Yuchen Jin (CTO, departed April 2026) [hyperbolic.ai/about], [LinkedIn] ## Core Business - **Primary industry/industries**: AI Infrastructure, Cloud Computing, GPU-as-a-Service - **Target customers**: B2B – AI startups, ML engineers, academic researchers, enterprise AI teams, and individual developers. - **Mission or purpose statement**: “Build the world's most accessible and comprehensive AI platform, empowering developers with affordable, seamless access to meet all their AI needs in one unified platform.” [hyperbolic.ai/about] ## Products & Services - **On-Demand GPU Clusters**: Rent H100/H200 GPUs in under one minute with no sales calls or quota limits. Pay-as-you-go, scale up/down as needed. [hyperbolic.ai] - **Reserved Clusters**: Guaranteed, isolated capacity for long-term workloads at discounted prepaid pricing. Ideal for 24/7 inference or large training jobs. [hyperbolic.ai] - **Dedicated Endpoints**: Single-tenant GPU instances with private endpoints for high-throughput inference (100K+ tokens/min) and full control. Hourly pricing. [hyperbolic.ai] - **Serverless Inference API**: OpenAI-compatible API to run models like Llama, Qwen, DeepSeek, SDXL, Flux, etc. Swap base URL and key with minimal code changes. [hyperbolic.ai] - **AI Consulting Services**: Engineering support for setup, scaling, sharding, and debugging across training, fine-tuning, and inference. [hyperbolic.ai] ## Market Standing - **Valuation/Market Cap**: Not disclosed - **Total Funding**: $19.73M (Series A: $12M in December 2024; Seed: $7M in July 2024; additional earlier rounds) [LinkedIn], [CB Insights] - **Notable Investors/Partners**: Variant, Polychain Capital, Chapter One, Faction, Bankless Ventures, Blockchain Builders Fund, and 29+ others. [CB Insights] - **Growth Signals**: 200,000+ builders on the platform; claims 3–10x less expensive than inference competitors; presence in 5 countries (US, Singapore, Vietnam, France, South Korea). [hyperbolic.ai], [LinkedIn] - **Key Metric**: Total funding $19.73M; no public revenue data. ## Competitive Advantages - **Cost leadership**: 3–10x cheaper than competing inference providers, with no hidden fees or long-term commitments. [hyperbolic.ai] - **Zero quota limits**: No artificial caps on GPU usage – provision instantly. [hyperbolic.ai] - **Unique model support**: Only platform serving Llama-3.1-405B-Base in BF16 (high-precision) and FP8 (ultra-fast inference). Endorsed by Andrej Karpathy. [hyperbolic.ai] - **Open-access ethos**: Focus on democratizing compute by aggregating underutilized GPUs (consumer-grade and data center), enabling AI development without vendor lock-in. [hyperbolic.ai/about] - **Speed**: Deploy a cluster in under one minute; pay with credit card or crypto. [hyperbolic.ai] ## Strategic Focus - **Scalability & automation**: Building the most automated platform to eliminate sales calls and friction. [hyperbolic.ai/about] - **Open ecosystem**: Partnering with top research labs, institutions, and major AI/ML teams to advance open-source AI and open-access compute. [hyperbolic.ai/about] - **Expanding model variety**: Continuously adding new state-of-the-art models and inference optimizations. [hyperbolic.ai] ## Why Work Here - **Culture**: Emphasizes “open access, collaboration, innovation, and automation.” Founding story rooted in removing barriers for developers and researchers. [hyperbolic.ai/about] - **Team**: Small (17 employees as of mid-2026), with a flat structure and hands-on roles. Engineering-centric (5 technical staff) plus growing GTM and product teams. [LinkedIn] - **Remote/Hybrid**: HQ in San Francisco; employees across 5 countries – likely offers remote flexibility, though policy not explicitly stated. [LinkedIn] - **Notable perks**: Work on cutting-edge AI infrastructure; direct impact on product; collaboration with top AI labs; use of latest GPUs (H100/H200). [hyperbolic.ai/about] - **Caution**: Recent high-profile departures (co-founder/CTO Yuchen Jin, Head of Business Operations, and a founding AI engineer in April 2026) – candidates should investigate stability and leadership continuity. [LinkedIn] ## Sources 1. [Hyperbolic – Official Website](https://www.hyperbolic.ai/) 2. [Hyperbolic – About Page](https://www.hyperbolic.ai/about) 3. [Hyperbolic – LinkedIn Company Page](https://www.linkedin.com/company/hyperbolic-labs) 4. [Hyperbolic Labs – CB Insights Profile](https://www.cbinsights.com/company/hyperbolic-labs) 5. [Hyperbolic – Careers Page (Ashby)](https://jobs.ashbyhq.com/hyperbolic) ## Other roles at Hyperbolic Labs - [Head of Talent](https://feeny.ai/job/head-of-talent-hyperbolic-labs-san-francisco-b7keyzaq8z69) — San Francisco, CA - [Corporate Counsel](https://feeny.ai/job/corporate-counsel-hyperbolic-labs-san-francisco-k09d2ba7yswy) — San Francisco, CA - [Quantitative Researcher](https://feeny.ai/job/quantitative-researcher-hyperbolic-labs-san-francisco-1j2y376nj205) — San Francisco, CA - [Member of Technical Staff - Inference](https://feeny.ai/job/member-of-technical-staff-inference-hyperbolic-labs-san-francisco-208hxvbmj3jn) — San Francisco, CA - [Head of Marketing](https://feeny.ai/job/head-of-marketing-hyperbolic-labs-san-francisco-07cmdwq0kxt9) — San Francisco, CA - [GTM (Operations)](https://feeny.ai/job/gtm-operations-hyperbolic-labs-san-francisco-ew8zr8za3vbr) — San Francisco, CA - [Technical Support Engineer](https://feeny.ai/job/technical-support-engineer-hyperbolic-labs-remote-7vnm5z6a127b) - [Capital Markets Lead](https://feeny.ai/job/capital-markets-lead-hyperbolic-labs-san-francisco-985j3avwskz1) — San Francisco, CA - [Compute Partnerships Manager](https://feeny.ai/job/compute-partnerships-manager-hyperbolic-labs-remote-91ddkx7r0sm1) - [VP of Engineering](https://feeny.ai/job/vp-of-engineering-hyperbolic-labs-san-francisco-fyhpfb9k3fxp) — San Francisco, CA